USA flag logo/image

An Official Website of the United States Government

A De-Identification Software Tool to Ensure HIPAA Compliance

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
96395
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
LM010851
Solicitation Year:
N/A
Solicitation Topic Code:
NLM
Solicitation Number:
N/A
Small Business Information
LOGICAL SEMANTICS, INC.
LOGICAL SEMANTICS, INC. 351 West 10th St, STE 347 INDIANAPOLIS, IN 46202
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: A De-Identification Software Tool to Ensure HIPAA Compliance
Agency: HHS
Contract: 1R43LM010851-01
Award Amount: $135,215.00
 

Abstract:

DESCRIPTION (provided by applicant): Recent advances in health information technology enable many organizations to collect, store, and use various types of medical information about individuals. As more and more patient records go online and become electro nic, there will be increased opportunities for significant and important medical research. However, strict privacy regulations restrict access to a patient's data without first getting the patient's consent. This is becoming increasingly impractical and di fficult as more and more health networks become distributed and interconnected. For example, a patient may live several states away from where their medical data is stored. A technique called de-identification can make patient data more accessible to resea rchers. De-identification means taking a patient's medical record, and removing all information (such as names and addresses) that could possibly reveal who the patient really is. What's left is just the medical data. A person reading a de-identified medic al record may be able to tell that the patient has diabetes or is on a certain medication, but they have no way of knowing who the patient actually is or even where they live. While a person can perform de-identification by hand by 'whiting out' identifyin g information (such as names) in a medical record, this is time-consuming, tedious, and costly, especially when there are thousands of records that need to be de-identified. Logical Semantics, Inc (LSI) plans to create in phase one medical de-identificatio n software that will be targeted to the general research community. The software will be easy to install and use by the average non-technical researcher, and its de-identification settings will be adjustable through a user-friendly interface. LSI will crea te the first system that can de-identify an entire patient medical record while maintaining temporal relationships within that record, identify and detect misspelled patient names, and be able to improve over time by learning from it's errors. The phase on e research is focused on two specific aims that will lead to breakthroughs in the science of de-identification: (1) Create de-identification software that can accurately de-identify medical reports and entire patient records in an EMR, and that can improve over time by learning from its errors. (2) Create de-identification software that is easy to install and use, and enables user control of de- identification processes and parameters through a user-friendly, easy-to- understand graphical user interface (GU I ). The achievement of these aims will result in a de-identification system that is accurate, easy to use, and capable of creating de-identified patient data that is highly valuable for medical research. PUBLIC HEALTH RELEVANCE: Logical Semantics, Inc (LSI) will develop software that will automatically de-identify (remove all patient identifying information from) electronic patient medical records. De-identification is important because it greatly increases the accessibility of patient data to medic al researchers. The software will be targeted for the general research community and will be easy to install and use by the average non-technical researcher. It will be the first de-identification system capable of de-identifying an entire patient medical record while maintaining the temporal relationships within that record. It will create de-identified patient data that is highly valuable for medical research.

Principal Investigator:

Patrick W. Jamieson
3172744829
PJAMIESO@IUPUI.EDU

Business Contact:


pjamieson@logicalsemantics.com
Small Business Information at Submission:

LOGICAL SEMANTICS, INC.
LOGICAL SEMANTICS, INC. 351 West 10th St, STE 347 INDIANAPOLIS, IN 46202

EIN/Tax ID: 135210640
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No